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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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are required to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and
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in top venues related to design, interactive systems, design anthropology or Science and Technology Studies, including joint-publication opportunities; 5) Developing and writing research proposals; 6
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sequencing data and population genomics tools. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter-disciplinary environment
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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project supported by the Princeton AI Lab Seed Grant Program in the research group of Professor Jie Deng. This position is part of a collaborative project involving close interaction with faculty in
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the position; Ability to identify and pursue research problems independently while working well in an interactive and dynamic setting. Equal Employment Opportunity Statement Princeton University is an Equal
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-x, https://pubs.acs.org/doi/10.1021/acs.analchem.5c06256, https://www.nature.com/articles/s41570-023-00570-2). The research is computational in nature but involves close interactions with experimental
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across